Manufacturing Data Analytics Engineer

Aumovio; Calamba; On-site; PHP 600,000 - 800,000; Full time

Job summary

Aumovio in Calamba, Laguna, Philippines is seeking a qualified candidate for the role focused on creating and maintaining analytical tools that improve manufacturing efficiencies. The position requires a Bachelor's degree and skills in SQL, Python, and Excel.

The ideal candidate will facilitate the adoption of AI solutions and provide ongoing support for essential manufacturing systems. This role offers a full-time, onsite work arrangement.

Qualifications

• Bachelor’s degree in Engineering, Data Science, or related field.
• Skills in SQL, Python, and Excel required.
• Familiarity with MES/ERP systems, like SAP, is a plus.

Responsibilities

• Create, maintain, and improve analytical tools for decision-making.
• Design and develop manufacturing-related software solutions.
• Facilitate adoption of AI solutions by shopfloor personnel.
• Support and enhance critical systems for manufacturing processes.
• Ensure system functionality and continuous process improvements.

Skills

SQL

Python

Excel

Education

Bachelor’s degree in Engineering, Data Science, or related field

Tools

MES/ERP systems (e.g., SAP)

Job description

Job Information

• Legal Entity: AUMOVIO Autonomous Mobility Philippines, Inc. (0614)
• Job flexibility: Onsite Job
• Leadership level: Leading Self
• Working time: Full Time

Job Description

• 1. Responsible for the creation, maintenance, and continuous improvement of analytical tools and systems that support manufacturing data‑driven decision‑making.
• 2. Designs, develops, and maintains manufacturing‑related software solutions aimed at improving cost efficiency, operational performance, and product quality.
• 3. Facilitates the adoption and effective use of AI‑driven solutions by shopfloor personnel, ensuring proper integration into daily operations.
• 4. Provides ongoing support and enhancements for critical systems such as Label AI Verify, Transparent Line, Material Release Tool, and other related applications essential to manufacturing processes.
• 5. Ensures uninterrupted system functionality and continuous process improvements, minimizing downtime and supporting overall production efficiency.

Qualifications

• 1. Bachelor’s degree in Engineering, Data Science, or related field.
• 2. Skills in SQL, Python, Excel.
• 3. Familiar with MES/ERP systems (e.g., SAP).
• 4. Strong problem‑solving and data analysis skills.